yinzhicun

yinzhicun's Stars

• poloclub/transformer-explainer

  Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

  Language:JavaScript2.6k224

• hyao1/GLAD

  The official code of "GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection"

  Language:Python382

• facebookresearch/segment-anything-2

  The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook10.8k881

• cswry/SeeSR

  [CVPR2024] SeeSR: Towards Semantics-Aware Real-World Image Super-Resolution

  Language:Python38422

• KwaiVGI/LivePortrait

  Bring portraits to life!

  Language:Python11.8k1.2k

• shangwei5/ST-AVSR

  Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors (ECCV2024)

  Language:Python1102

• DachunKai/EvTexture

  [ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution

  Language:Python98064

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python6k657

• hunto/LocalMamba

  Code for paper LocalMamba: Visual State Space Model with Windowed Selective Scan

  Language:Python19110

• MzeroMiko/VMamba

  VMamba: Visual State Space Models，code is based on mamba

  Language:Python2k120

• kyegomez/VisionMamba

  Implementation of Vision Mamba from the paper: "Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model" It's 2.8x faster than DeiT and saves 86.8% GPU memory when performing batch inference to extract features on high-res images

  Language:Python35318

• roimehrez/contextualLoss

  The Contextual Loss

  Language:Python48978

• csxmli2016/GFRNet_WarpNet

  Language:Python5

• stayhungry1/FIQA

  5

• csxmli2016/ASFFNet512

  This is a totally reimplemented version of our ASFFNet (CVPR2020) on 512*512 images.

  Language:Python726

• cszhilu1998/SelfDZSR_PlusPlus

  [TPAMI 2024] Self-Supervised Learning for Real-World Super-Resolution from Dual and Multiple Zoomed Observations

  Language:Python34

• CastellanLiu/BasicSR

  Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

  3

• tyhuang0428/DreamPhysics

  DreamPhysics: Learning Physical Properties of Dynamic 3D Gaussians from Video Diffusion Priors

  Language:Python1614

• xinntao/facexlib

  FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.

  Language:Python815144

• tyhuang0428/DreamControl

  [CVPR 2024] DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior

  Language:Python632

• ZcsrenlongZ/ZoomGS

  [ECCV 2024] Dual-Camera Smoooth Zoom on Mobile Phones

  Language:Python612

• liuxiaoyu1104/SmartControl

  Language:Jupyter Notebook771

• junjun-jiang/Face-Hallucination-Benchmark

  A collection of state-of-the-art face super-resolution/hallucination methods

  Language:Python21029

• foivospar/Arc2Face

  [ECCV 2024 Oral🔥] Arc2Face: A Foundation Model for ID-Consistent Human Faces

  Language:Python56137

• academicpages/academicpages.github.io

  Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

  Language:JavaScript11.7k42k

• PKU-YuanGroup/Open-Sora-Plan

  This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

  Language:Python11.3k1k

• MyNiuuu/VCSD

  Official PyTorch implementation for the CVPR 2023 paper: Visibility Constrained Wide-band Illumination Spectrum Design for Seeing-in-the-Dark

  Language:Python463

• c-yn/AdaIR

  AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation

  Language:Python905

• YBYBZhang/DiFa

  [NeurIPS 2022] Official pytorch implementation of "Towards Diverse and Faithful One-shot Domain Adaption of Generative Adversarial Networks"

  Language:Python492

• YBYBZhang/ControlVideo

  [ICLR 2024] Official pytorch implementation of "ControlVideo: Training-free Controllable Text-to-Video Generation"

  Language:Python75856